Wearable Data Hack Munich 2015

Wearable Data Hack Munich 2015

Today, we would like to announce something special. Something we can’t wait to take place and until mid June it’s going to be tough to sit tight. Please, feel invited to our Wearable Data Hack Munich 2015! The Wearable Data Hack Munich 2015 is the first hack day on wearable tech applications and data. It will take place right after the launch of Apple Watch – the gadget we expect to rise the tide for all wearables. Withe the Wearable Data Hack Munich 2105, we aim to kick-off app development for the emerging smartwatch and wearable tech market. During this weekend you will have the first occasion to share your views and ideas and jointly gather experience with the new data realm. Apple calls the Apple Watch “Our most personal device ever”. And with good cause: The data from wearable tech, smartphones and smartwatches are really the most personal data ever. Our mobile devices accompany every step we take, every move we make. A plentitude of sensors on the devices draw a multidimensional picture of our daily lives. Applications of wearable data range from fitness to retail, from automotive to health. There is hardly an industry that cannot make direct […]

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The Datarella World Map Of Behavior

The Datarella World Map Of Behavior

Every smartphone user produces more than 20 MB of data collected by her phone’s sensors per day. Now, imagine the sensor data of 2 billion smartphone users worldwide, translated into realtime human behavior, shown on a global map. That is the vision of the Datarella World Map of Behavior. A typical 2015 generation smartphone sports up to 25 sensors, measuring activities as diverse as movements, noise, light, or magnetic flux. Most smartphone users aren’t even aware of the fact that their phone’s camera or microphone never are really „off“ but that they constantly collect data about the noise level or the intensity of light the user is experiencing. Actions speak louder than words Actions speak louder than words – if we want to really know a person we have to know how she behaves, and not only what she says. And that’s not only true for politicians. We all form our opinions on others by looking at their actions, more than their words. Many inter-personal problems result from NOT looking at people’s actions, but focusing on other aspects, such as their looks or their words. Behind superficial distinctions such as physical appearances, over time we often realize similarities with other […]

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Data is the new media

Data is the new media

Data storytelling, data journalism, and even data fiction – since the advent of Big Data, we find data more and more as tool of narratives. With pattern recognition, exploratory data analytics, and especially with data visualization, data has re-centered from the quantitative to the qualitative. More and more applications support us in using data to tell a story. Dashboards like Tableau or DataLion plug into our data sources and translate the numbers into a visual format that can be much more easily digested. Even highly multivariate data can deliver straightforward meaning to us when we use tools like Gephi, or say, the notorious Palantir. These tools also make social media analytics and text mining feasible techniques to research society, advertising, and markets. Data driven storytelling has conquered most non-fiction publication. News publishers like New York Times or The Guardian employ huge teams of infographic specialists to enrich their reports with meaningful data visualization. Some of their editors have put together awesome collections of beautiful examples, e.g. informationisbeautiful.net. Our most personal data however is generated on our mobile and wearable devices. On our smartphones, wristbands, or smartwatches, some twenty sensors continuously track our behavior and our actions. There is a plenitude […]

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A Bit of Data Science – What Your Battery Status Tells About You

A Bit of Data Science – What Your Battery Status Tells About You

Working with lots of data, the biggest challenge is not to store or handle this data – these jobs are far from being trivial, but there are solutions for nearly any kind of problem in this space. The real work with data starts when you ask yourself: what’s behind the data? How could you interpret this data? What story can you tell with this data? That’s what we do and we want to share some of our findings with you and motivate you to join our discussion about the meaning of the data . We want to create Data Fiction. Today, we start with some sensor data collected by our explore app – the smartphone’s battery status including the loading process. Below you see sample data for our user’s behavior during the week (Feature Visual) and at the weekend (Figure 1). Figure 2: Smartphone Battery Status (weekend) (Datarella) In Figure 1 you see that most users load their smartphones around 7 a.m. and (again) around 5 p.m. What does that tell us? First, we know when most users wake up in the morning – around 7 a.m.. Most probably they have used their smartphones‘ alarm functions and then connect their devices to the power […]

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The design of the explore app – The Datarella Interview

The design of the explore app – The Datarella Interview

Today, we speak with Kira Nezu (KN), Co-founder of Datarella, about the design of the explore app. Q The explore app is available for Android smartphones only. What is the reason not to launch an iPhone version, too? KN We started to develop explore as a so-called MVP, a Minimum Viable Product. We chose Android to start with since it offers more variety regarding sensor and phone data. So we only test and make mistakes on one platform. At some point, we will also launch an iPhone version. Q explore consists of two different elements: the sensor tracking and the interaction area with surveys, tasks and recommendations. Could you tell us more about the structure and the functionalities of the app? KN With the MVP we are trying to stay as flexible as possible to enable fast changes and bug fixing. So we decided to create a hybrid app which incorporates native and web elements. The native part basically is the container with most of the graphics. The content is dynamically fetched from our backend, whereas the result area is fully created with web views. This brings great flexibility: we can update our content within minutes. Regarding the structure there are 3 […]

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Call for Data Fiction

Call for Data Fiction

DATA FICTION – THE STORIES BEHIND THE DATA Do you read science fiction? Can you make data interesting? Can you tell the story behind a pool of data? Are you a data fictionista? Submit your data fiction. People, animals, plants and things produce data – a lot of data. The data itself is the basic resource – like words are the basis for language. If you put words together to sentences and you combine sentences to chapters and aggregate several chapters – you write a story, you create fiction. Same with data: if you combine different data sources to data pools and aggregate them – you write the story behind the data, you create data fiction. [Strong narrative] augments the available data by way of context, and extends the patience of the audience by sustaining their interest as well. Does that sound like you? We’d love to see and discuss your applications, analyses, case studies and models with you and help you make your data fiction become reality. DATA, APP & COMPLEX EVENT PROCESSING ENGINE The Data We will provide you with sample data resulting from the usage of our explore app. The App The data has been created by […]

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Big Data helping people to understand real-time pollution risks

Big Data helping people to understand real-time pollution risks

From rapid urbanization in China to dung-fired stoves in New Delhi, air pollution claimed 7 million lives around the world in 2012, according to the World Health Organization. Globally, one out of every eight deaths is tied to dirty air – which makes air pollution the world’s single biggest environmental health risk. And, in areas with very bad air pollution, people live an average of 5 fewer years than those in other areas.  Not only in Chinese megacities or indian agricultural areas, people are trying hard to keep air pollution at bay. In Portland, Oregon, a local initiative called Neighbors for Clean Air is using Big Data to make bad air visible. The group is part of an experiment in initiated by Intel Labs, that uses 17 common, low-cost sensors, each weighing less than a pound to gather air quality data. This data feeds to websites that analyze and present comprehensible visualizations of the data. The sensors itself are built using an Arduino controller. They measure carbon and nitrogen dioxide emissions, temperature and humidity. By making the air pollution problem visible, the experiment not only made people recognize the importance of technology in understanding air quality, but Neighbors for Clean […]

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Wearable app ‚explore‘ succedes in field trial

Wearable app ‚explore‘ succedes in field trial

We have been trialing our app explore in the field since the beginning of December together with our partner Serviceplan Group. Employees of the different branches of Serviceplan tested explore regarding stability and usability. After four weeks testing we can happily announce: explore has passed the test with excellence. The app runs smoothly and stable and will be used in the wild from January on. Main user locations explore app, December 2013 (Source: Datarella) The app users have been mostly situated in Germany, but explore was in use also in London, in Poland, Thailand and at the US West Coast, as you can see on the figure above. In an impressive way the aggregated paths and whereabouts map the main routes of the local transit services within Munich, including the lines to the airport, and also the most frequented areas in Munich city, Schwabing, Isarvorstand, and Sendling, and the south west: Main user locations within Greater Munich, explore app, December 2013 (Source: Datarella) All explore participants have been keeping on using the GPS functionality over the full span of the trial – no one has chosen the option to switch off the tracking, which can be done in the settings […]

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explore besteht Feldeinsatz mit Bravour

Seit Beginn Dezember läuft die explore App im Feldtest mit unserem Partner, der Serviceplan Gruppe. Mitarbeiter verschiedener Tochterunternehmen der Gruppe testen explore hinsichtlich Stabilität und Usability. Nach vier Wochen Test können wir erfreut melden: explore hat mit Bravour bestanden. Die App läuft rund und stabil – und wird nun im Januar auf ihre Einsatzmöglichkeiten im Feld geprüft. Main user locations explore app, December 2013 (Quelle: Datarella) Die Nutzer der App haben sich schwerpunktmässig in Deutschland aufgehalten, aber auch in London, Polen, Thailand und an der Westküste der Vereinigten Staaten wurde explore eingesetzt, wie die obige Abbildung zeigt. Innerhalb Münchens markieren die aggregierten zurückgelegten Wege und Aufenthaltspunkte der explore Tester in anschaulicher Form  die Hauptstrecken des öffentlich-rechtlichen Nahverkehrs inklusive der S-Bahn zum Flughafen, sowie die häufig frequentierten Bereiche der Münchner Innenstadt – mit Schwabing, Isarvorstadt und Sendling, sowie im Münchner Südwesten: Main user locations within Greater Munich, explore app, December 2013 (Quelle: Datarella) Alle explore Teilnehmer haben die GPS-Funktionalität über den gesamten Testzeitraum genutzt – niemand hat zur Option gegriffen, das Tracking im Profilbereich der App auszuschalten. Dies ist ein wichtiges Einzelergebnis des Tests: den Teilnehmern war diese Möglichkeit des Opt-out bewusst, keiner hat sich allerdings aktiv aus dem Tracking verabschiedet. […]

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Denn sie wissen, was sie tun sollen: Verhaltensbasierte Empfehlungen zur Tagesgestaltung kommen aufs Smartphone

Denn sie wissen, was sie tun sollen: Verhaltensbasierte Empfehlungen zur Tagesgestaltung kommen aufs Smartphone

Manchmal braucht es eine konkrete Anwendung, um die Implikationen einer neuen Technologie so plakativ zu demonstrieren, dass den Menschen die Augen geöffnet werden. Mit seiner neuen Version gelingt dies der New Yorker App Foursquare vortrefflich: Die App sagt ihrem Nutzer nicht (nur), wo er gerade ist, sondern auch was er als Nächstes tun wird. Mit einem neuen Set an Push Notifications verknüpft mit einem gefälligeren Design wird es für Foursquare-Nutzer einfacher zu erfahren, was um sie herum passiert. Bestätigt man die entsprechenden Benachrichtigungen, erhält man Tipps zu empfohlenen Gerichten in Restaurants oder Aktivitäten, die man in einer neuen Umgebung unbedingt ausprobieren sollte. Während ähnliche Features in Apps bisher zum Ärger der Nutzer die Akkuleistung extrem dezimierten, soll dies in der neuen Foursquare Version nicht mehr der Fall sein. Hier werden die Entwickler die Algorithmen entsprechend optimiert haben. Alle Empfehlungen sollen idealerweise personalisiert sein; d.h. die App lernt auf Basis des Nutzerverhaltens über Vorlieben und Verhaltensweisen. An genau diesem Punkt wird sich die Qualität der Algorithmen zu erkennen geben: Notifications können gleichermaßen Ärgernis und Hilfestellung sein. Beides liegt sehr eng zusammen. Selbst wenn jedoch die Akzeptanz der neuen Notifications zu Beginn nicht überwältigend ausfallen sollte, zeigt Foursquare mit dieser neuen Version […]

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